Reivew artical

Abstract

Abstract:- Artificial intelligence (AI) is fundamentally transforming the medical sector by improving diagnostic accuracy, optimizing treatment protocols, and streamlining healthcare processes. AI-driven algorithms analyze extensive medical databases to facilitate early disease detection, tailor treatment plans, and support clinical decision-making. In disciplines such as radiology, pathology, dermatology, and ophthalmology, AI enhances diagnostic precision through the application of deep learning algorithms for image analysis. In oncology, cardiology, and neurology, AI-driven treatment planning facilitates precision medicine by predicting disease progression and optimizing drug selection. Furthermore, AI improves healthcare operations through robotic-assisted surgeries, AI-powered virtual assistants, and electronic health record (EHR) automation, thereby enhancing patient management and reducing clinician workload. Despite these advantages, challenges such as data privacy, algorithmic bias, model transparency, and system integration require attention. Future advancements in AI, including precision medicine, robotic nursing, wearable health monitoring, and federated learning, are anticipated to significantly enhance patient care. AI possesses the potential to transform contemporary medicine by establishing ethical principles and regulatory frameworks that ensure safer, more efficient, and personalized healthcare solutions.